User:TChen

About Me

Hello! I'm Theresa Chen, student at Carleton College, class of '22. I am a double major in environmental studies and computer science.

Work Log

Week 1

Working part-time due to still being in school
Tuesday 6/1

• Attend REU orientation
• Attend mini data science boot camp

Wednesday 6/2

• Continue mini data science boot camp

Thursday 6/3

• Attend Good Research Practices Talk by Dr. Brylow

Week 2

Tuesday 6/8

• Meet with Dr. Puri, discuss overall research goals
• Begin literature review

Wednesday 6/9

• Responsible Conduct of Research (RCR) training
• Attend REU event on technical writing

Thursday 6/10

• Continue lit review
• Familiarize self with different ICESAT-2 data products
• Watch some tutorials from ICESAT-2 hackweek

Friday 6/11

• Lit review- looking at articles related to areas of interest in the arctic
• Meet with Dr. Puri
• Narrow down interest to ATL03 files, start pre-processing data

Week 3

Monday 6/14

• Continue lit review
• Explore captoolkit, used to process ATL06 open altimetry data
• Try to reduce HDF5 file to only variables selected for project

Tuesday 6/15

• Visualize raw photon height data from selected study area in the arctic
• Experiment with data visualizations
• Review past paper from old REU participant Erin Doyle
• Meet with Dr. Puri, decide to expand variable selection

Wednesday 6/16

• Working on processing HDF5 to csv
• Went to REU Professional Event
• Created REU Wiki pages

Thursday 6/17

• Double checking data sets by visualizing photon heights to see if elevation makes sense
• Obtaining datasets for several areas near the arctic circle
• Beginning machine learning tutorials using "keras" package

Friday 6/18

• Working on creating neural network
• Mostly debugging tensorflow installation
• Experimenting with hyperparameters like epochs and batch size to reduce loss and increase accuracy

Week 4

Monday 6/21

• Predicted results from NN still have very low accuracy, still trying to fix

Tuesday 6/22

• Fixing uneven output types for NN model
• Fixing low accuracy for NN model
• Met with Satish to discuss expectations for the coming week

Wednesday 6/23

• Finally got working results for NN model
• Working to visualize and compare results for height prediction
• Learning how to use geopandas and geoplot

Thursday 6/24

• Debugging geoplot, issues with conda installation
• Working on data visualizations
• Started using cartopy

Friday 6/25

• Lit review on lead classification
• Finalized some data visualizations

Week 5

Monday 6/28

• Attended RCR on presentations
• Worked on slides for presentation on Wednesday
• Read a paper on calculating sea ice thickness from ATL10 freeboard estimates

Tuesday 6/29

• Read a paper on lead classification
• Met with Satish to discuss verification of results
• Practiced for Wednesday presentation

Wednesday 6/30

• Attended research presentations and gave presentation in the morning
• Compared results to OpenAltimetry results
• Read up on CRYOSAT and Sentinel-1

Thursday 7/1

• Read up on ATL10 Freeboard algorithm
• Looked at alternative machine learning classification techniques for lead detection

Friday 7/2

• Continued researching lead detection
• Set up Marquette VPN so that larger area in arctic circle could be analyzed
• Read literature on features and areas of interest in Arctic Circle

Week 6

Monday 7/5

• Lit review of CRYOSAT-2 lead detection algorithms
• Review of decision trees